Reconstruction of chaotic signals in wireless sensor networks

Hongbin Chen, Jiuchao Feng, Chi Kong Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The problem of chaotic signal reconstruction in wireless sensor networks is studied. The sensors observe a common chaotic signal in a sensing field. The observations are gathered in a fusion center which is responsible for reconstructing the chaotic signal. Due to the bandwidth constraint of sensors, the observations are quantized and the quantized data are sent to the fusion center. The fusion center combines the received data and employs an unscented Kalman filtering (UKF) algorithm to reconstruct the chaotic signal. The results show that this method can recover the chaotic signal effectively and achieve close performance to the benchmark case where the observations are not quantized. The UKF is also compared with the optimal best linear unbiased estimator (BLUE).
Original languageEnglish
Title of host publication2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009
Pages187-190
Number of pages4
Publication statusPublished - 31 Dec 2009
Event2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009 - Milpitas, CA, United States
Duration: 23 Jul 200925 Jul 2009

Conference

Conference2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009
Country/TerritoryUnited States
CityMilpitas, CA
Period23/07/0925/07/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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